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Why this grade This listing scored 21/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 3 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hn-hiring
Healthcare in the U.S. is a mess. Komodo Health is fixing that—with data. We've mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers are pharma, payers, and health systems who actually want to do something meaningful with that information.
We have an exciting project, where we are building a custom, healthcare data specific compute engine that can be orders of magnitude faster than any analytics solution out there.
We're looking for a Staff-level Data Software Engineer (emphasizing the importance of both data and software here!) to work on this project at the core of our platform. This is a data-engineering problem solved with real software-engineering rigor: you'll be designing the data structures and query systems that make analytics over massive healthcare datasets feel instant. Not wiring up someone else's pipeline DAGs — building the engine underneath.
It's demanding, low-level, performance-obsessed work, and correctness is sacred. If you care about where the microseconds go and refuse to trade off getting the answer right, you'll fit in.
The team is very small, and we intend to keep it this way. If you are interested in heads down work with a group of high caliber like-minded folks, this may be perfect.
What we're looking for
- Staff-level software engineer with deep systems chops — you reason naturally about memory, parallelism, and performance. Rust is a plus; strong C++/Go/systems experience that transfers is welcome.
- Serious data engineering experience — large-scale data processing, columnar formats, correctness/validation at scale, schema discipline.
- AI experience is optional — but the curiosity to go deep on it is not.
- Must already be in the US.
Perks
If you’re in SF/NY, there are offices, but if you choose, you can WFH. We have on-sites every few months to let the team mingle, at various locations! executive/career coaching if desired.
Before you email
Interested? Email me: [email protected].
1. You need to already be in the US.
2. You really need advanced data engineering experience. AI experience is optional, though we may test you for aptitude.
3. I've mentioned a keyword in my HN profile — include it in your email (plenty of people just blast every address in these posts). I'll read every email mentioning that keyword sent in the next two days!
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